New to Product Hunt.... Building CitedSpy and Excited to Learn
Hi everyone 👋
I'm Arshita, founder of CitedSpy.
We are building a platform that helps brands understand and improve their visibility across AI search engines like ChatGPT, Gemini, Claude, and Perplexity.
I've joined Product Hunt not just to launch a product, but to learn from founders, makers, marketers, and early adopters who are shaping the future of technology.
I'm curious about how experienced community members approach product launches, gather feedback, and build genuine relationships here. My goal is to contribute, support other makers, share what we're learning while building CitedSpy, and hopefully grow alongside this community.
Looking forward to connecting with fellow builders and celebrating each other's successes. 🚀
What advice would you give to someone starting their Product Hunt journey today?
Replies
Hey Arshita,
Nice to meet you. I cant give oyu advice on someone starting their Product Hunt Journey as I only join yesterday, but its nice to meet you and connect.
I look forward to seeing what you have to promote!
@oliver_hempsall2 thanks Ollie for your reply and network to grow.
Hope to see yours product / offering too.
welcome arshita. the AI search visibility problem is real - chatgpt, gemini, and perplexity all seem to cite pretty differently from each other. are you tracking raw citation frequency per model, or more how prominently a brand shows up when it does get mentioned?
@sabber_ahamed .... Thanks, Sabber!
Right - each model behaves differently. A brand that shows up consistently in Perplexity may barely appear in ChatGPT, and vice versa.
We track both:
• Citation frequency - how often a brand is mentioned, cited, or recommended in each AI engine.
• Visibility quality - where and how it appears: sentiment, recommendation context, competitor share of voice, and the sources driving those mentions.
Frequency alone can mislead. One strong recommendation often matters more than five passing mentions.
The goal: not just "does AI know you" but "how does AI present you when buyers are deciding."
Have you noticed any model behaving very differently in your own testing?
Nice to meet you. Hope to see yours product within no long.
@meicen_med yes we are launching citedspy.com soon :) https://www.youtube.com/@CitedSpyHQ
Welcome, Arshita! 👋
I'm also here to learn, connect with fellow builders, and grow alongside the community. Wishing you great success with CitedSpy—it sounds like a really interesting product. I'll definitely check out the platform and see what you've built. Looking forward to following your journey.
Hi, I'm Arshita Sharma, founder of CitedSpy.
For over 10 years, I've worked across business development, growth, and digital marketing, helping companies get discovered and grow. Over the last couple of years, I noticed a major shift: buyers stopped relying only on Google and started asking ChatGPT, Gemini, Perplexity, and other AI assistants for recommendations.
The problem was simple: brands had no way to see what AI was saying about them.
That's why I built CitedSpy a platform that helps businesses track, monitor, and improve their visibility across AI search engines. We show where your brand is mentioned, cited, recommended, and where competitors are winning attention.
We're building for the future of discovery, where being part of the AI answer matters as much as ranking on Google.
Excited to share CitedSpy.com with the Product Hunt community and learn from your feedback.
Going live in about 23 hours from now ....
Welcome, Arshita! This resonates a lot with what I've been working on. Visibility across AI answer engines feels like the next frontier after traditional SEO, and it's still early enough that best practices aren't settled. One thing I keep noticing is how differently each model surfaces and cites sources, so measuring it consistently is genuinely hard. Curious what signals you've found most predictive of whether a brand gets cited. Excited to follow CitedSpy's journey!